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ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 10 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 7 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
MICCAI
1999
Springer
14 years 2 months ago
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
TCSV
2008
156views more  TCSV 2008»
13 years 10 months ago
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication
Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, howe...
Zhicheng Ni, Yun Q. Shi, Nirwan Ansari, Wei Su, Qi...
ICIP
2009
IEEE
14 years 11 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...